1) The document analyzes quantitative data from various learning object repositories, referatories, and learning management systems to understand patterns of growth, contribution, and reuse. 2) It finds that most repositories follow a power law distribution and experience two phases of linear growth; contributors follow heavy-tailed distributions; and around 20% of learning objects are reused at least once regardless of granularity. 3) The analysis has implications for improving interoperability, retention of contributors, understanding different types of users, and rethinking assumptions around learning object reuse. Quantitative measurement is important for understanding progress.

1. Quantiative Analysis of Learning Object Repositories Xavier Ochoa, ESPOL, Ecuador Erik Duval, KULeuven, Belgium 2008

2. Thanks for being here

5. Learning Object Economy Market Makers Producers Consumers Policy Makers Market

6. Learning Object Economy Market Makers Producers Consumers Policy Makers LOR (Market)

7. Learning Object Economy Market Makers Producers Consumers Policy Makers LOR (Market)

8. How many objects are published? How do they grow? Which percentage is reused? How much does a user publish? Does the granularity affect reuse?

11. Repository Size Repository Referatory OCW LMS IR

20. Objects per Contributor – Impl. There is no such thing as an “average user ”

21. Low Middle High

22. Engagement is the key

23. Enagement is the key LMSs are the best type of Repository!!!

29. Reuse vs. Popularity

32. MESURE (and let us help / let us know) Real, Real Conclusion

33. Danke, questions? Xavier Ochoa – [email_address] Erik Duval – [email_address]